Development of A Standardized Scale to Assess Marketing Effectiveness of Farmer Producer Organisations (FPOs)
DOI:
https://doi.org/10.48165/IJEE.2026.622RT06Keywords:
Farmer Producer Organizations (FPOs), Marketing effectiveness, Exploratory Factor Analysis (EFA), Average Variance Extracted (AVE), Composite Reliability (CR), Convergent validity, Scale development.Abstract
The study was undertaken to develop a standardized instrument capable of accurately assessing the marketing effectiveness of Farmer-Producer Organisations (FPOs) through the summated rating technique. Initially, 18 dimensions were identified through literature review and expert consultation. Nine dimensions were chosen based on an Item–Content Validity Index of > 0.80. Based on a comprehensive review of literature and consultations with stakeholders of FPOs, 156 statements related to marketing effectiveness were identified. Following extensive editing, 112 statements were selected, out of which 82 statements with relevancy scores greater than 0.85 were retained. Based on the t-test results, 48 statistically significant statements (t > 2.145, p < 0.05) were retained for scale development. A nine-dimensional structure with factor loadings greater than 0.60 was verified by exploratory factor analysis. With a strong split-half reliability coefficient (0.941) and Cronbach’s alpha (0.944), the completed instrument demonstrated excellent reliability. The instrument exhibited strong convergent validity, as evidenced by a high overall Average Variance Extracted of 0.864 and an excellent Composite Reliability value of 0.996. The final 48 items were grouped under nine dimensions. For positive items, scores ranged from 5 (Strongly Agree) to 1 (Strongly Disagree), whereas negative items were evaluated using reverse scoring.Downloads
References
Anand, S., Ghosh, S., & Mukherjee, A. (2023). Effectiveness of farmer producer organizations (FPOs) at different growth stages in transitioning to secondary agriculture. Indian Journal of Extension Education, 59(3), 90–96. https://doi.org/10.48165/ijee.2023.59317
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait–multimethod matrix. Psychological Bulletin, 56(2), 81–105. https://doi.org/10.1037/h0046016
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. https://doi.org/10.1037/h0040957
DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage Publications.
Edwards, A. L. (1969). Techniques of attitude scale construction. Vakils, Feffer and Simons.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Ghadge, R. G., Shitole, M., & Latambale, P. S. (2023). A study of challenges faced by FPO while marketing their produce. Biological Forum – An International Journal, 15(3), 872–879.
Government of India. (2013). Policy and process guidelines for farmer producer organisations. Department of Agriculture and Cooperation, Ministry of Agriculture. https://www.mofpi.gov.in/sites/default/files/fpo_policy_process_guidelines_1_april_2013.pdf
Gupta, S. K., Nain, M. S., Singh, R., & Mishra, J. R. (2022). Development of scale to measure agripreneurs’ attitude towards entrepreneurial climate. Indian Journal of Extension Education, 58(2), 153–157. https://doi.org/10.48165/IJEE.2022.58237
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications.
Jose, A. E., Jayalekshmi, G., Lade, A. H., & Karde, R. (2023). Socio-psychological constructs and perceived economic variables on entrepreneurial behavior among farmer producer organization members in Kerala: A comprehensive analysis. Asian Journal of Agricultural Extension, Economics & Sociology, 41(9), 241–250. https://doi.org/10.9734/ajaees/2023/v41i92036
Kumar, R., Slathia, P. S., Peshin, R., & Nain, M. S. (2015). Development of scale to measure attitude of farmers towards rapeseed mustard crop. Journal of Community Mobilization and Sustainable Development, 10(2), 221–224.
Kumar, S., Kumar, R., Meena, P. C., & Kumar, A. (2023). Determinants of performance and constraints faced by farmer producer organizations (FPOs) in India. Indian Journal of Extension Education, 59(2), 1–6. https://doi.org/10.48165/ijee.2023.59201
Kumari, N., Malik, J. S., Arun, D. P., & Nain, M. S. (2022). Farmer producer organizations (FPOs) for linking farmers to market. Journal of Extension Systems, 37(1), 1–6. https://doi.org/10.48165/jes.2022.38.1.1
Lade, A. H., Ahire, R. D., & Kausadikar, K. D. (2024). Construction of a scale for measuring consequences of farmer producer company on its beneficiaries. International Journal of Agriculture Extension and Social Development, 7(4), 435–440. https://doi.org/10.33545/26180723.2024.v7.i4f.559
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1–55.
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385. https://doi.org/10.1097/00006199-198611000-00017
Meethal, S. V. K., & Thomas, A. (2024). Construction of a scale to measure correlates of adoption of sustainable domains in on-farm testing interventions. Indian Journal of Extension Education, 60(4), 112–117. https://doi.org/10.48165/IJEE.2024.604RT1
Mitra, S. (2015). Book review: Producer companies in India: Organization and performance. Social Change, 45(2), 356–360. https://doi.org/10.1177/0049085715574215
Muniyoor, K., & Pandey, R. (2024). Measuring performance of farmer producer organisations using data envelopment analysis. Journal of Global Operations and Strategic Sourcing, 17(1), 74–87. https://doi.org/10.1108/JGOSS-05-2023-0049
Parthiban Sakthi, R., Nain, M. S., Singh, R., Kumar, S., & Chahal, V. P. (2015). Farmers’ producer organisation in reducing transactional costs: A study of Tamil Nadu mango growers’ federation. Indian Journal of Agricultural Sciences, 85(10), 1303–1307.
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
Raj, N., & Thomas, A. (2022). A scale to measure risk behaviour of vegetable farmers. Journal of Tropical Agriculture, 60(1).
Shitu, G. A., Nain, M. S., & Kobba, F. (2018). Development of scale for assessing farmers’ attitude towards precision conservation agricultural practices. Indian Journal of Agricultural Sciences, 88(3), 499–504.
Singh, A. K. (2019). Tests, measurements and research methods in behavioural sciences (6th ed.). Bharati Bhawan.
Singh, A., Singh, R., Nain, M. S., Mishra, J. R., Kumar, P., Sharma, D. K., & Paul, R. K. (2023). Linkage network structures of farmers: Analysing FPOs of Madhya Pradesh and Bihar in India. Indian Journal of Extension Education, 59(3), 14–20. https://doi.org/10.48165/IJEE.2023.59303
Sujay, K., Nain, M. S., Singh, R., Roy, S. K., Prabhakar, I., Ranjan, A., Karjigi, D. K., Patil, M., Das, D., & Wasaful, Q. S. K. (2025). Quantifying support for agripreneurs: A multidimensional scale development and analysis of institutional mechanisms. Journal of Global Entrepreneurship Research, 15, 12. https://doi.org/10.1007/s40497-025-00429-4
Trebbin, A. (2014). Linking small farmers to modern retail through producer organizations: Experiences with producer companies in India. Food Policy, 45, 35–44. https://doi.org/10.1016/j.foodpol.2013.12.007
Waghmode, D., Deshmukh, B., & Waghmode, S. (2025). The role of farmer producer companies (FPCs) in creating efficient marketing of soybean in Maharashtra, India. Research on World Agricultural Economy, 6(3), 825–838. https://doi.org/10.36956/rwae.v6i3.1901
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